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85 lines
5.0 KiB
Python
Executable File
85 lines
5.0 KiB
Python
Executable File
import gradio as gr
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import numpy as np
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import json
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CHOICES = ["foo", "bar", "baz"]
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JSONOBJ = """{"items":{"item":[{"id": "0001","type": null,"is_good": false,"ppu": 0.55,"batters":{"batter":[{ "id": "1001", "type": "Regular" },{ "id": "1002", "type": "Chocolate" },{ "id": "1003", "type": "Blueberry" },{ "id": "1004", "type": "Devil's Food" }]},"topping":[{ "id": "5001", "type": "None" },{ "id": "5002", "type": "Glazed" },{ "id": "5005", "type": "Sugar" },{ "id": "5007", "type": "Powdered Sugar" },{ "id": "5006", "type": "Chocolate with Sprinkles" },{ "id": "5003", "type": "Chocolate" },{ "id": "5004", "type": "Maple" }]}]}}"""
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def fn(text1, text2, num, slider1, slider2, single_checkbox,
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checkboxes, radio, dropdown, im1, im2, im3, im4, video, audio1,
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audio2, file, df1, df2):
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return (
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(text1 if single_checkbox else text2) +
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", selected:" + ", ".join(checkboxes), # Text
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{
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"positive": num / (num + slider1 + slider2),
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"negative": slider1 / (num + slider1 + slider2),
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"neutral": slider2 / (num + slider1 + slider2),
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}, # Label
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(audio1[0], np.flipud(audio1[1])) if audio1 is not None else "files/cantina.wav", # Audio
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np.flipud(im1) if im1 is not None else "files/cheetah1.jpg", # Image
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video if video is not None else "files/world.mp4", # Video
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[("The", "art"), ("quick brown", "adj"), ("fox", "nn"), ("jumped", "vrb"), ("testing testing testing", None), ("over", "prp"), ("the", "art"), ("testing", None), ("lazy", "adj"), ("dogs", "nn"), (".", "punc")] + [(f"test {x}", f"test {x}") for x in range(10)], # HighlightedText
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# [("The testing testing testing", None), ("quick brown", 0.2), ("fox", 1), ("jumped", -1), ("testing testing testing", 0), ("over", 0), ("the", 0), ("testing", 0), ("lazy", 1), ("dogs", 0), (".", 1)] + [(f"test {x}", x/10) for x in range(-10, 10)], # HighlightedText
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[("The testing testing testing", None), ("over", 0.6), ("the", 0.2), ("testing", None), ("lazy", -.1), ("dogs", 0.4), (".", 0)] + [(f"test", x/10) for x in range(-10, 10)], # HighlightedText
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json.loads(JSONOBJ), # JSON
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"<button style='background-color: red'>Click Me: " + radio + "</button>", # HTML
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"files/titanic.csv",
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df1, # Dataframe
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np.random.randint(0, 10, (4,4)), # Dataframe
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[im for im in [im1, im2, im3, im4, "files/cheetah1.jpg"] if im is not None], # Carousel
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df2 # Timeseries
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)
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iface = gr.Interface(
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fn,
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inputs=[
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gr.inputs.Textbox(default="Lorem ipsum", label="Textbox"),
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gr.inputs.Textbox(lines=3, placeholder="Type here..", label="Textbox 2"),
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gr.inputs.Number(label="Number", default=42),
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gr.inputs.Slider(minimum=10, maximum=20, default=15, label="Slider: 10 - 20"),
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gr.inputs.Slider(maximum=20, step=0.04, label="Slider: step @ 0.04"),
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gr.inputs.Checkbox(label="Checkbox"),
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gr.inputs.CheckboxGroup(label="CheckboxGroup", choices=CHOICES, default=CHOICES[0:2]),
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gr.inputs.Radio(label="Radio", choices=CHOICES, default=CHOICES[2]),
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gr.inputs.Dropdown(label="Dropdown", choices=CHOICES),
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gr.inputs.Image(label="Image", optional=True),
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gr.inputs.Image(label="Image w/ Cropper", tool="select", optional=True),
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gr.inputs.Image(label="Sketchpad", source="canvas", optional=True),
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gr.inputs.Image(label="Webcam", source="webcam", optional=True),
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gr.inputs.Video(label="Video", optional=True),
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gr.inputs.Audio(label="Audio", optional=True),
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gr.inputs.Audio(label="Microphone", source="microphone", optional=True),
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gr.inputs.File(label="File", optional=True),
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gr.inputs.Dataframe(label="Dataframe", headers=["Name", "Age", "Gender"]),
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gr.inputs.Timeseries(x="time", y=["price", "value"], optional=True),
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],
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outputs=[
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gr.outputs.Textbox(label="Textbox"),
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gr.outputs.Label(label="Label"),
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gr.outputs.Audio(label="Audio"),
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gr.outputs.Image(label="Image"),
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gr.outputs.Video(label="Video"),
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gr.outputs.HighlightedText(label="HighlightedText"),
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gr.outputs.HighlightedText(label="HighlightedText", show_legend=True),
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gr.outputs.JSON(label="JSON"),
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gr.outputs.HTML(label="HTML"),
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gr.outputs.File(label="File"),
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gr.outputs.Dataframe(label="Dataframe"),
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gr.outputs.Dataframe(label="Numpy", type="numpy"),
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gr.outputs.Carousel("image", label="Carousel"),
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gr.outputs.Timeseries(x="time", y=["price", "value"], label="Timeseries")
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],
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examples=[
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["the quick brown fox", "jumps over the lazy dog", 10, 12, 4, True, ["foo", "baz"], "baz", "bar", "files/cheetah1.jpg", "files/cheetah1.jpg", "files/cheetah1.jpg", "files/cheetah1.jpg", "files/world.mp4", "files/cantina.wav", "files/cantina.wav","files/titanic.csv", [[1,2,3],[3,4,5]], "files/time.csv"]
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] * 3,
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theme="huggingface",
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title="Kitchen Sink",
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description="Try out all the components!",
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article="Learn more about [Gradio](http://gradio.app)"
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)
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if __name__ == "__main__":
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iface.launch()
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